With Swiss LETA/TJPG requirements enforcing stricter transparency, private banks are scrambling to extract complex beneficial ownership chains from core banking platforms.
The temptation is to plug an analytics or AI tool directly into your production CRM and core databases. Here is why that approach fails—and how to fix it:
The Mistake: Direct Core Querying
- Connects external tools straight to core banking databases.
- Exposes sensitive client PII to untrusted analytical environments.
- Risks performance degradation on production transactional systems during heavy graph-traversal queries.
The Fix: Secure Microservice Layering
Instead of touching core platforms, deploy an isolated, event-driven extraction microservice:
- Scoped Data Extraction: Microservices read only necessary entity and holding data via restricted API contracts.
- Deterministic Ownership Mapping: Recursive ownership chain calculations run in an isolated environment using deterministic graph logic, not fuzzy matching.
- Zero Data Retention in Transit: Once mapped and formatted for compliance reporting, transient processing data is wiped, maintaining cryptographic proof for audits.
Protecting your core banking architecture while meeting LETA requirements isn’t a tradeoff—it’s a design pattern.
